Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

Multicenter validation of a deep-learning-based pediatric early-warning system for prediction of deterioration events

Background Early recognition of deterioration events is crucial to improve clinical outcomes. For this purpose, we developed a deep-learning-based pediatric early-warning system (pDEWS) and aimed to validate its clinical performance. Methods This is a retrospective multicenter cohort study including...

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Bibliographic Details
Main Authors: Yunseob Shin, Kyung-Jae Cho, Yeha Lee, Yu Hyeon Choi, Jae Hwa Jung, Soo Yeon Kim, Yeo Hyang Kim, Young A Kim, Joongbum Cho, Seong Jong Park, Won Kyoung Jhang
Format: Article
Language:English
Published: Korean Society of Critical Care Medicine 2022-11-01
Series:Acute and Critical Care
Subjects:
cardiac arrest
critical care
deep learning
early warning score
pediatrics
Online Access:http://www.accjournal.org/upload/pdf/acc-2022-00976.pdf

Internet

http://www.accjournal.org/upload/pdf/acc-2022-00976.pdf

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